Cryptographic service optimization scheduling algorithm for collaborative jobs in cloud environment
In response to the demand for collaborative computation of multi-cryptographic jobs in cryptographic on-demand services within a cloud environment,a multi-cryptographic job collaborative scheduling algorithm was pro-posed.This algorithm effectively addressed new challenges in cloud environments,such as a variety of cryptographic al-gorithm types,high concurrency demands,random cross-job interactions,and sudden increases in workloads.Consider-ing the dependencies among jobs,makespan of jobs and computational power of computing units,the scheduling prob-lem for multi-cryptographic job collaborative service was modeled as a multi-objective optimization workflow schedul-ing problem.A two-stage"select-sort"scheduling algorithm was proposed.In the selection stage,the improved NSGA-Ⅲ algorithm was employed to select computing units for cryptographic computing jobs,and in the sorting stage,the ex-ecution order was determined based on the urgency of jobs.Simulation results demonstrate that the proposed algorithm outperforms traditional scheduling algorithms in terms of energy consumption,migration costs,and adaptability to tran-sient surges in loads.
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